Add smoke tests for the training examples #585
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anton-l
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Sep 20, 2022
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| def test_train_unconditional(self): | ||
| stream_handler = logging.StreamHandler(sys.stdout) | ||
| logger.addHandler(stream_handler) | ||
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| with tempfile.TemporaryDirectory() as tmpdir: | ||
| test_args = f""" | ||
| examples/unconditional_image_generation/train_unconditional.py |
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The documentation is not available anymore as the PR was closed or merged. |
patil-suraj
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Sep 20, 2022
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Looks good! Thank you for adding these tests !
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Very nice idea! Also good to test something! |
patrickvonplaten
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Sep 21, 2022
PhaneeshB
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Mar 1, 2023
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Checks whether the models and model cards get saved after a (successful) training run, nothing more!
To run locally, run
python -m pytest -s -v ./examplesfrom the root dir.